Pharmacogenetics in hypertension is a field of study that aims to understand how interindividual genetic variability can influence the response to medications used to treat high blood pressure, which is a common cardiovascular condition. This approach aims to analyze the pharmacogenetic impact on arterial hypertension. Currently, a wide range of genetic variants have been identified that can affect an individual's response to antihypertensive medications. For example, some genes can influence how the body metabolizes medications, affecting the dosage needed to achieve adequate blood pressure control. Other genes may be related to susceptibility to adverse side effects. Pharmacogenetics in hypertension allows doctors to make more informed decisions about which medication to prescribe to a patient based on their genetic profile. This can increase the effectiveness of the treatment and reduce the likelihood of unwanted side effects. Additionally, this approach may be particularly useful in cases of refractory hypertension, where patients do not respond to conventional therapies. Pharmacogenetics in hypertension is a growing field that seeks to personalize the treatment of this common cardiovascular condition. By understanding how individual genes affect responses to medications, doctors can make treatments more precisely to improve blood pressure control and reduce side effects. However, it is important to note that, although promising, this approach is still in development and is not widely available in clinical practice.
{"title":"Pharmacogenetics: Therapeutic regimen in hypertension","authors":"Joshua Ivan Orona Ceron, Kevin Salais Diaz, Mariela Aketzali Salazar Herrera, Dariana Yulian Silva Vargas, Lidia Teresa Velázquez Rojas, Brissia Lazalde Medina","doi":"10.30574/gscarr.2024.18.2.0024","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0024","url":null,"abstract":"Pharmacogenetics in hypertension is a field of study that aims to understand how interindividual genetic variability can influence the response to medications used to treat high blood pressure, which is a common cardiovascular condition. This approach aims to analyze the pharmacogenetic impact on arterial hypertension. Currently, a wide range of genetic variants have been identified that can affect an individual's response to antihypertensive medications. For example, some genes can influence how the body metabolizes medications, affecting the dosage needed to achieve adequate blood pressure control. Other genes may be related to susceptibility to adverse side effects. Pharmacogenetics in hypertension allows doctors to make more informed decisions about which medication to prescribe to a patient based on their genetic profile. This can increase the effectiveness of the treatment and reduce the likelihood of unwanted side effects. Additionally, this approach may be particularly useful in cases of refractory hypertension, where patients do not respond to conventional therapies. Pharmacogenetics in hypertension is a growing field that seeks to personalize the treatment of this common cardiovascular condition. By understanding how individual genes affect responses to medications, doctors can make treatments more precisely to improve blood pressure control and reduce side effects. However, it is important to note that, although promising, this approach is still in development and is not widely available in clinical practice.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"39 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140422699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.30574/gscarr.2024.18.2.0070
Obinna Donald, Alexander Obaigbena, Oluwaseun Augustine Lottu, Ejike David Ugwuanyi, Boma Sonimitiem Jacks, Enoch Oluwademilade Sodiya, Obinna Donald Daraojimba
The integration of artificial intelligence (AI) into human-robot interaction (HRI) has witnessed significant advancements in recent years, revolutionizing the way humans and robots collaborate and coexist. This review provides a comprehensive overview of the latest breakthroughs in AI-driven HRI and identifies the challenges that lie ahead. Recent years have seen a surge in AI-driven capabilities that enhance human-robot interaction. Machine learning algorithms enable robots to adapt to user preferences and behaviors, creating personalized and intuitive interactions. Natural language processing (NLP) facilitates seamless communication between humans and robots, enabling voice commands and context-aware responses. Computer vision advancements empower robots with enhanced perception, enabling them to recognize and interpret human gestures, emotions, and facial expressions. Reinforcement learning has played a pivotal role in enabling robots to learn from human feedback and optimize their actions in real-time. Socially assistive robots leverage AI to provide emotional support and companionship, particularly in healthcare and elderly care settings. Despite these advancements, challenges persist in the field of AI-driven HRI. Ethical considerations, including privacy concerns and the responsible use of AI in influencing human behavior, demand careful attention. Ensuring the safety and security of AI-driven robotic systems remains paramount, requiring robust measures against malicious attacks and unintended consequences. Human-robot trust remains a critical challenge, necessitating transparent AI algorithms and effective communication strategies. Interdisciplinary collaboration between AI researchers, roboticists, psychologists, and ethicists is essential to address the complex socio-technical aspects of HRI. The fusion of AI and human-robot interaction holds immense potential to redefine various facets of our daily lives. This review highlights recent strides in AI-driven HRI, emphasizing the need for interdisciplinary efforts to address challenges and ensure the responsible development and deployment of AI-powered robotic systems. As researchers continue to innovate, the dynamic landscape of AI and human-robot interaction promises a future where seamless collaboration and coexistence between humans and robots become an integral part of our societal fabric.
{"title":"AI and human-robot interaction: A review of recent advances and challenges","authors":"Obinna Donald, Alexander Obaigbena, Oluwaseun Augustine Lottu, Ejike David Ugwuanyi, Boma Sonimitiem Jacks, Enoch Oluwademilade Sodiya, Obinna Donald Daraojimba","doi":"10.30574/gscarr.2024.18.2.0070","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0070","url":null,"abstract":"The integration of artificial intelligence (AI) into human-robot interaction (HRI) has witnessed significant advancements in recent years, revolutionizing the way humans and robots collaborate and coexist. This review provides a comprehensive overview of the latest breakthroughs in AI-driven HRI and identifies the challenges that lie ahead. Recent years have seen a surge in AI-driven capabilities that enhance human-robot interaction. Machine learning algorithms enable robots to adapt to user preferences and behaviors, creating personalized and intuitive interactions. Natural language processing (NLP) facilitates seamless communication between humans and robots, enabling voice commands and context-aware responses. Computer vision advancements empower robots with enhanced perception, enabling them to recognize and interpret human gestures, emotions, and facial expressions. Reinforcement learning has played a pivotal role in enabling robots to learn from human feedback and optimize their actions in real-time. Socially assistive robots leverage AI to provide emotional support and companionship, particularly in healthcare and elderly care settings. Despite these advancements, challenges persist in the field of AI-driven HRI. Ethical considerations, including privacy concerns and the responsible use of AI in influencing human behavior, demand careful attention. Ensuring the safety and security of AI-driven robotic systems remains paramount, requiring robust measures against malicious attacks and unintended consequences. Human-robot trust remains a critical challenge, necessitating transparent AI algorithms and effective communication strategies. Interdisciplinary collaboration between AI researchers, roboticists, psychologists, and ethicists is essential to address the complex socio-technical aspects of HRI. The fusion of AI and human-robot interaction holds immense potential to redefine various facets of our daily lives. This review highlights recent strides in AI-driven HRI, emphasizing the need for interdisciplinary efforts to address challenges and ensure the responsible development and deployment of AI-powered robotic systems. As researchers continue to innovate, the dynamic landscape of AI and human-robot interaction promises a future where seamless collaboration and coexistence between humans and robots become an integral part of our societal fabric.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"136 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.30574/gscarr.2024.18.2.0479
ASHORO Collins Ovwigho, GBIGBI Theophilus Miebi, OVHARHE Oghenero Joseph
The study appraised financial inclusion and impacts on agriculture in Delta State, Nigeria. Delta State, located in the southern region of Nigeria, is known for its rich agricultural potential. Agriculture is a major source of livelihood for the majority of its population, contributing significantly to both food security and economic growth. Nigeria introduced National Financial Inclusion Strategy (NFIS) in 2012. Besides, interventions of financial inclusion packages in Nigeria by some corporate financial inclusion organizations include: Agent Banking and Mobile Money, Nigeria Incentive-Based Risk Sharing System for Agricultural Lending (NIRSAL), Financial Literacy and Education Programs, Agricultural Credit Guarantee Scheme Fund (ACGSF) and Microfinance Institutions (MFIs). These organizations impacted the Delta State agriculture in the areas of cassava farming, oil palm production, rice cultivation, poultry, fisheries and aquaculture, agribusiness and processing and agricultural diversity. Such Impacts were obvious in food security, poverty reduction, women's empowerment, market access and value chain integration, risk mitigation, access to agricultural inputs, income diversification and increased agricultural productivity. Noticeable financial inclusion challenges in Delta State's agricultural sector were limited access to financial services, insufficient financial literacy programmes and inadequate rural infrastructure. It was concluded that financial inclusion in agriculture in Delta State is a cornerstone for the state's economic development and the well-being of its citizens. Among the recommendations given, it was emphasized that strengthening financial education system should be prioritized in agriculture.
{"title":"Financial inclusion and impacts on agriculture in Delta State, Nigeria","authors":"ASHORO Collins Ovwigho, GBIGBI Theophilus Miebi, OVHARHE Oghenero Joseph","doi":"10.30574/gscarr.2024.18.2.0479","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0479","url":null,"abstract":"The study appraised financial inclusion and impacts on agriculture in Delta State, Nigeria. Delta State, located in the southern region of Nigeria, is known for its rich agricultural potential. Agriculture is a major source of livelihood for the majority of its population, contributing significantly to both food security and economic growth. Nigeria introduced National Financial Inclusion Strategy (NFIS) in 2012. Besides, interventions of financial inclusion packages in Nigeria by some corporate financial inclusion organizations include: Agent Banking and Mobile Money, Nigeria Incentive-Based Risk Sharing System for Agricultural Lending (NIRSAL), Financial Literacy and Education Programs, Agricultural Credit Guarantee Scheme Fund (ACGSF) and Microfinance Institutions (MFIs). These organizations impacted the Delta State agriculture in the areas of cassava farming, oil palm production, rice cultivation, poultry, fisheries and aquaculture, agribusiness and processing and agricultural diversity. Such Impacts were obvious in food security, poverty reduction, women's empowerment, market access and value chain integration, risk mitigation, access to agricultural inputs, income diversification and increased agricultural productivity. Noticeable financial inclusion challenges in Delta State's agricultural sector were limited access to financial services, insufficient financial literacy programmes and inadequate rural infrastructure. It was concluded that financial inclusion in agriculture in Delta State is a cornerstone for the state's economic development and the well-being of its citizens. Among the recommendations given, it was emphasized that strengthening financial education system should be prioritized in agriculture.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"349 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140417537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.30574/gscarr.2024.18.2.0048
Dann Mark N. Dela Cruz, Marwena M. Diaz, Emelita T. Madrid
This study was solely focused on the financial literacy level and financial behavior of the online sellers in Iba, Zambales as to their cash management; expenditure; savings; and investments. The researchers utilized the quantitative descriptive correlational research design with questionnaire as the main instrument in gathering data from the one hundred forty (140) online sellers in Iba, Zambales who were randomly selected. The researchers found out that the majority of the respondents are female in their early adulthood, single, college undergraduate major in business, with meagre income, had monthly expenses more than the income and saving, and neophyte in online selling business. The respondents stood well-educated on the dimensions towards the factors of financial literacy as to cash management, expenditures, savings and investment. The respondents strongly agreed on the dimensions towards the factors of financial behavior as to cash management, expenditures, savings and investment. There were significant differences on the perceptions of the respondents when grouped towards dimensions on financial literacy as to their monthly income, monthly expenses and monthly savings, highest educational attainment, and years in online selling respectively. There are significant differences on the perceptions of the respondents when grouped towards dimensions on financial behavior as to their monthly income, monthly expenses and monthly savings, and area of specialization respectively. There is positive moderate relationship between financial literacy and financial behavior. Based on the summary of the investigations conducted, and the conclusions arrived at, the researchers recommended that online sellers are still encouraged to attend financial management seminars to maintain a high level of financial literacy and behavior to prevent losses, financial squander, and misuse; establish a family savings culture; have a financial record management to sustain the monitoring of their inventory and future decisions; and lastly, future researchers may conduct a replication of this study.
{"title":"Evaluating financial literacy and behavior among online sellers in Zambales","authors":"Dann Mark N. Dela Cruz, Marwena M. Diaz, Emelita T. Madrid","doi":"10.30574/gscarr.2024.18.2.0048","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0048","url":null,"abstract":"This study was solely focused on the financial literacy level and financial behavior of the online sellers in Iba, Zambales as to their cash management; expenditure; savings; and investments. The researchers utilized the quantitative descriptive correlational research design with questionnaire as the main instrument in gathering data from the one hundred forty (140) online sellers in Iba, Zambales who were randomly selected. The researchers found out that the majority of the respondents are female in their early adulthood, single, college undergraduate major in business, with meagre income, had monthly expenses more than the income and saving, and neophyte in online selling business. The respondents stood well-educated on the dimensions towards the factors of financial literacy as to cash management, expenditures, savings and investment. The respondents strongly agreed on the dimensions towards the factors of financial behavior as to cash management, expenditures, savings and investment. There were significant differences on the perceptions of the respondents when grouped towards dimensions on financial literacy as to their monthly income, monthly expenses and monthly savings, highest educational attainment, and years in online selling respectively. There are significant differences on the perceptions of the respondents when grouped towards dimensions on financial behavior as to their monthly income, monthly expenses and monthly savings, and area of specialization respectively. There is positive moderate relationship between financial literacy and financial behavior. Based on the summary of the investigations conducted, and the conclusions arrived at, the researchers recommended that online sellers are still encouraged to attend financial management seminars to maintain a high level of financial literacy and behavior to prevent losses, financial squander, and misuse; establish a family savings culture; have a financial record management to sustain the monitoring of their inventory and future decisions; and lastly, future researchers may conduct a replication of this study.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"43 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nitrogen is an essential nutrient for growing tomato plants (Lycopersicum esculentum Mill.) on Andisol soil order. However, many farmers tend to use an excessive amount of inorganic fertilizers, which can have adverse effects on both the environment and tomato yield. To combat this problem, an alternative solution is to replace the inorganic fertilizer through inoculation of Azotobacter as an N-fixing bacteria. An experiment was conducted to examine the combined effects of the N-fixing consortium with NPK on total soil N, N uptake, Azotobacter spp. population, growth and the tomato plants yield. The experiment was performed on Andisols, located roughly 1250 m above sea level in West Java Province. The experimental design used was a Randomized Block Design, in three replications, consisting of A (Control), B (N-fixing inoculation), C (N-fixing + ¼ NPK), D (N-fixing + ½ NPK), E (N-fixing + ¾ NPK), F (N-fixing + 1 NPK), and G (1 NPK). The experiment revealed that the Lembang Andisol had an acidic pH, moderate available N, and high P retention. Applying Azotobacter sp. and Azotobacter vinelandii (N-fixing consortium) combined with one dose of NPK increased plant height and the total soil N content. N-fixing inoculation combined with 1/4 NPK, ½ NP, and ¾ NPK increased plant N uptake. The inoculation of N-fixing + ¼ NPK increased fruit weight, the number of fruits, and the yield per hectare of tomatoes. Inoculating Azotobacter sp. and Azotobacter vinelandii in mixed culture can reduce NPK usage by 75%, resulting in higher tomato yield.
{"title":"The potential of N-fixing bacteria consortium inoculation and NPK application in increasing soil N-total, plant N uptake and tomato (Lycopersicum esculentum Mill.) yields in Andisol","authors":"Pujawati Suryatmana, Mochamad Yuki Akbari Haz, Nadia Nuraniya Kamaluddin, Mieke Rochimi Setiawati","doi":"10.30574/gscarr.2024.18.2.0040","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0040","url":null,"abstract":"Nitrogen is an essential nutrient for growing tomato plants (Lycopersicum esculentum Mill.) on Andisol soil order. However, many farmers tend to use an excessive amount of inorganic fertilizers, which can have adverse effects on both the environment and tomato yield. To combat this problem, an alternative solution is to replace the inorganic fertilizer through inoculation of Azotobacter as an N-fixing bacteria. An experiment was conducted to examine the combined effects of the N-fixing consortium with NPK on total soil N, N uptake, Azotobacter spp. population, growth and the tomato plants yield. The experiment was performed on Andisols, located roughly 1250 m above sea level in West Java Province. The experimental design used was a Randomized Block Design, in three replications, consisting of A (Control), B (N-fixing inoculation), C (N-fixing + ¼ NPK), D (N-fixing + ½ NPK), E (N-fixing + ¾ NPK), F (N-fixing + 1 NPK), and G (1 NPK). The experiment revealed that the Lembang Andisol had an acidic pH, moderate available N, and high P retention. Applying Azotobacter sp. and Azotobacter vinelandii (N-fixing consortium) combined with one dose of NPK increased plant height and the total soil N content. N-fixing inoculation combined with 1/4 NPK, ½ NP, and ¾ NPK increased plant N uptake. The inoculation of N-fixing + ¼ NPK increased fruit weight, the number of fruits, and the yield per hectare of tomatoes. Inoculating Azotobacter sp. and Azotobacter vinelandii in mixed culture can reduce NPK usage by 75%, resulting in higher tomato yield.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"45 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140419531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the rapidly evolving landscape of financial markets, the quest for accurate stock market predictions has never been more critical. This paper delves into the transformative potential of neural network models in forecasting stock market movements, offering a comprehensive examination of their effectiveness compared to traditional predictive models. With a focus on the evolution of stock market prediction methodologies, this study aims to uncover the nuanced dynamics of neural networks, their comparative analysis with other models, and the pivotal role of data preprocessing in enhancing prediction accuracy. Employing a qualitative analysis framework, the research meticulously synthesizes findings from selected studies, highlighting the superior performance of neural network models in capturing complex market patterns and adapting to volatility. The results underscore the significant impact of data quality and quantity, architectural nuances of neural networks, and the strategic implications for investors navigating the stock market's unpredictability. Despite the promising outcomes, the study acknowledges inherent challenges in the real-world application of these models, including data imperfections and the complexity of financial ecosystems. Conclusively, the paper advocates for ongoing innovation, interdisciplinary collaboration, and the strategic integration of advanced neural network architectures to overcome existing limitations. Recommendations emphasize the critical need for high-quality, diverse datasets and continuous model refinement to harness the full predictive power of neural networks in stock market forecasting. This study not only illuminates the path forward for investors and financial analysts but also sets the stage for future research in this dynamic field.
{"title":"Predicting stock market movements using neural networks: A review and application study","authors":"Adedoyin Tolulope Oyewole, Omotayo Bukola Adeoye, Wilhelmina Afua Addy, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Chinonye Esther Ugochukwu","doi":"10.30574/gscarr.2024.18.2.0072","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0072","url":null,"abstract":"In the rapidly evolving landscape of financial markets, the quest for accurate stock market predictions has never been more critical. This paper delves into the transformative potential of neural network models in forecasting stock market movements, offering a comprehensive examination of their effectiveness compared to traditional predictive models. With a focus on the evolution of stock market prediction methodologies, this study aims to uncover the nuanced dynamics of neural networks, their comparative analysis with other models, and the pivotal role of data preprocessing in enhancing prediction accuracy. Employing a qualitative analysis framework, the research meticulously synthesizes findings from selected studies, highlighting the superior performance of neural network models in capturing complex market patterns and adapting to volatility. The results underscore the significant impact of data quality and quantity, architectural nuances of neural networks, and the strategic implications for investors navigating the stock market's unpredictability. Despite the promising outcomes, the study acknowledges inherent challenges in the real-world application of these models, including data imperfections and the complexity of financial ecosystems. Conclusively, the paper advocates for ongoing innovation, interdisciplinary collaboration, and the strategic integration of advanced neural network architectures to overcome existing limitations. Recommendations emphasize the critical need for high-quality, diverse datasets and continuous model refinement to harness the full predictive power of neural networks in stock market forecasting. This study not only illuminates the path forward for investors and financial analysts but also sets the stage for future research in this dynamic field.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.30574/gscarr.2024.18.2.0065
Maria Dalamagka
Autism is the fastest growing serious developmental disability. Infantile autism is associated with a characteristic cognitive, language and behavioral features. Autism spectrum disorders (ASD) have lifelong effects on areas of individual daily life functioning such as learning, relationships and independence. The future of anesthetic management of ASD will depend on how well we understand the etiology, psycho-social and medical issues with the disease. A wide spectrum of medical and behavioral symptoms is exhibited by children with autism, which makes routine dental care very difficult in them. Autism is a neurobehavioral and cognitive disorder characterized by impaired development of interpersonal and communication skills, limited interests, and repetitive behaviors. American Academy of Paediatric Dentistry's guidelines on Caries Risk Assessment has categorized them under High risk for physicians and other nondental health care providers and Moderate risk for dental providers. Attitude and knowledge of the oral health care professionals are of utmost importance while rendering oral health care to such children. The treatment rendered currently provides a long-term benefit for the patient. More focus had to be given for the long-term maintenance of oral health in special children. A 24-year-old autistic child with a history of seizures came to the operating room where he received general anesthesia for dental work. The awakening was particularly slow, as the patient's condition was characterized as severe autism with the corresponding medication, which interacts with the anesthetic drugs and makes awakening difficult.
{"title":"Autism and general anesthesia for dental care","authors":"Maria Dalamagka","doi":"10.30574/gscarr.2024.18.2.0065","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0065","url":null,"abstract":"Autism is the fastest growing serious developmental disability. Infantile autism is associated with a characteristic cognitive, language and behavioral features. Autism spectrum disorders (ASD) have lifelong effects on areas of individual daily life functioning such as learning, relationships and independence. The future of anesthetic management of ASD will depend on how well we understand the etiology, psycho-social and medical issues with the disease. A wide spectrum of medical and behavioral symptoms is exhibited by children with autism, which makes routine dental care very difficult in them. Autism is a neurobehavioral and cognitive disorder characterized by impaired development of interpersonal and communication skills, limited interests, and repetitive behaviors. American Academy of Paediatric Dentistry's guidelines on Caries Risk Assessment has categorized them under High risk for physicians and other nondental health care providers and Moderate risk for dental providers. Attitude and knowledge of the oral health care professionals are of utmost importance while rendering oral health care to such children. The treatment rendered currently provides a long-term benefit for the patient. More focus had to be given for the long-term maintenance of oral health in special children. A 24-year-old autistic child with a history of seizures came to the operating room where he received general anesthesia for dental work. The awakening was particularly slow, as the patient's condition was characterized as severe autism with the corresponding medication, which interacts with the anesthetic drugs and makes awakening difficult.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"56 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.30574/gscarr.2024.18.2.0039
Shane Scott Namie, Dongmei Wang
In 2016, a pilot program in Alaska's Milne Point Field tested polymer flooding for heavy oil recovery. Using four wells in the Schrader Bluff reservoir, it aimed to assess its effectiveness in capturing heavy oil resources. Generally, polymer flooding can boost oil production by 10-15%, typically occurring 6-9 months after injection. However, in this case, it took over 24 months for a polymer breakthrough. The method proved highly effective, consistently reducing water content by over 40% and maintaining a low level below 20% for 18 months. Applying standard simulation methods, like history matching, became challenging due to this prolonged low water cut. The usual history-matching processes focus on relative permeability, permeability corrections, and skin effect modifications. Nevertheless, these alternatives proved ineffective. In response to the extended low water cut in Alaska's North Slope, a unique approach was suggested. This approach entails highlighting the low-end point (Krw) across multiple relative permeability curves and adjusting these values according to the water cut history. Additionally, the method takes into account permeability adjustments, Equation of State on analyzes of oil viscosity, J-function incorporation, and considers the potential for viscous fingering during the process. The pilot program displayed remarkable polymer flooding effectiveness, but its unique performance on the North Slope required a modified history-matching approach to simulate its success accurately.
{"title":"EOR of heavy oil polymer on Alaska's North Slope: History matching challenges and solutions in a significant long-term water cut reduction","authors":"Shane Scott Namie, Dongmei Wang","doi":"10.30574/gscarr.2024.18.2.0039","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0039","url":null,"abstract":"In 2016, a pilot program in Alaska's Milne Point Field tested polymer flooding for heavy oil recovery. Using four wells in the Schrader Bluff reservoir, it aimed to assess its effectiveness in capturing heavy oil resources. Generally, polymer flooding can boost oil production by 10-15%, typically occurring 6-9 months after injection. However, in this case, it took over 24 months for a polymer breakthrough. The method proved highly effective, consistently reducing water content by over 40% and maintaining a low level below 20% for 18 months. Applying standard simulation methods, like history matching, became challenging due to this prolonged low water cut. The usual history-matching processes focus on relative permeability, permeability corrections, and skin effect modifications. Nevertheless, these alternatives proved ineffective. In response to the extended low water cut in Alaska's North Slope, a unique approach was suggested. This approach entails highlighting the low-end point (Krw) across multiple relative permeability curves and adjusting these values according to the water cut history. Additionally, the method takes into account permeability adjustments, Equation of State on analyzes of oil viscosity, J-function incorporation, and considers the potential for viscous fingering during the process. The pilot program displayed remarkable polymer flooding effectiveness, but its unique performance on the North Slope required a modified history-matching approach to simulate its success accurately.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"133 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Zingiber officinale is a spice consumed in Chad and traditionally used against osteoarthritis, migraine and rheumatic pain, but few pharmacological studies of this plant have been carried out. The aim of this study was to assess the in vivo anti-inflammatory activity of Z. officinale rhizomes essential oil (EO). Methods: A preliminary phytochemical screening was carried out on the EO of Z. officinale rhizomes; the anti-inflammatory activity of the given plant extract was then assessed at the concentrations of 0.20%, 1% and 5% on three experimental models: egg yolk-induced oedema, cotton pellet-induced granuloma and formalin. In addition, the essential oil was tested for its in vitro antioxidant capacity using the 2,2-Diphényl-2-picryl-hydrazyle Free Radical Scavenging Test, acide 2,2'-azino-bis 3éthylbenz- thiazoline-6-sulfonique Radical Test and the Ferric reducing antioxidant power Test. The study was extended to the acute toxicity of the EO of the rhizomes of Z. officinale using the sequential method. Results: Qualitative phytochemical screening of the EO of Z. officinale rhizome revealed the presence of tannins, flavonoids, triterpenes, terpenoids and free quinones. In the egg yolk-induced edema model, the EO of Z .officinale rhizomes significantly inhibited (p < 0.01) oedema by 25.28%, 31.12% and 68.27% at the concentrations of 0.20%, 1% and 5%, respectively, when compared to controls. In the formalin-induced paw edema model, EO of Z. officinale rhizomes inhibited oedema by 24.27%, 30.14% and 43.14% at the concentrations of 0.20%, 1% and 5%, respectively, when compared to the controls. In the cotton pellet-induced granuloma model, EO of Z. officinale rhizomes induced an anti-granulomatous effect of 32.68%, 38.27% and 41.51% at the concentrations of 0.20%, 1% and 5%, respectively, as compared to controls. Additionally, the EO of the rhizomes of Z. officinale also induced in vitro antioxidant and free radical scavenging activity and iron reduction. Definitely, the LD50 of the EO of Z. officinale rhizomes was estimated as more than 2000 mg/kg b.w. Conclusion: The EO of Z. officinale rhizomes exhibited anti-inflammatory activity. This effect can be explained, at least partly to its chemical content and its antioxidant potential.
背景：欧当归（Zingiber officinale）是乍得人食用的一种香料，传统上用于治疗骨关节炎、偏头痛和风湿痛，但很少有人对这种植物进行药理研究。本研究旨在评估 Z. officinale 根茎精油（EO）的体内抗炎活性。方法：对 Z. officinale 根茎的精油进行了初步的植物化学筛选；然后评估了浓度为 0.20%、1% 和 5%的植物提取物在蛋黄诱导的水肿、棉球诱导的肉芽肿和福尔马林三种实验模型上的抗炎活性。此外，还使用 2,2-二苯基-2-吡啶-肼自由基清除试验、2,2'-吖嗪-双 3éthylbenz- thiazoline-6-sulfonique 自由基试验和铁还原抗氧化能力试验对精油的体外抗氧化能力进行了测试。研究还扩展到了采用顺序法检测 Z. officinale 根茎环氧乙烷的急性毒性。研究结果对 Z. officinale 根茎的环氧乙烷进行定性植物化学筛选后发现，其中含有鞣质、黄酮类、三萜类、萜类和游离醌类化合物。在蛋黄诱导的水肿模型中，与对照组相比，浓度为 0.20%、1% 和 5%的 Z .officinale 根状茎环氧乙烷对水肿的抑制率分别为 25.28%、31.12% 和 68.27%（p < 0.01）。在福尔马林诱导的爪水肿模型中，与对照组相比，浓度为 0.20%、1% 和 5%的 Z. officinale 根茎环氧乙烷对水肿的抑制率分别为 24.27%、30.14% 和 43.14%。在棉花颗粒诱导的肉芽肿模型中，与对照组相比，浓度为 0.20%、1% 和 5%的 Z. officinale 根状茎环氧乙烷的抗肉芽肿效果分别为 32.68%、38.27% 和 41.51%。此外，Z. officinale 根茎的环氧乙烷还具有体外抗氧化和清除自由基的活性，并能降低铁的含量。当然，据估计，Z. officinale 根状茎环氧乙烷的半数致死剂量超过 2000 毫克/千克体重：Z. officinale 根茎的环氧乙烷具有抗炎活性。这种效果至少可以部分归因于其化学成分和抗氧化潜力。
{"title":"In vivo anti-inflammatory activity of the essential oil of zingiber officinale rhizomes on Wistar rats","authors":"Djelassem Ferdinand, Mbida Hacheked, Aboubakar Sidiki, Nnanga Nga, David Emery Tsala","doi":"10.30574/gscarr.2024.18.2.0015","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0015","url":null,"abstract":"Background: Zingiber officinale is a spice consumed in Chad and traditionally used against osteoarthritis, migraine and rheumatic pain, but few pharmacological studies of this plant have been carried out. The aim of this study was to assess the in vivo anti-inflammatory activity of Z. officinale rhizomes essential oil (EO). Methods: A preliminary phytochemical screening was carried out on the EO of Z. officinale rhizomes; the anti-inflammatory activity of the given plant extract was then assessed at the concentrations of 0.20%, 1% and 5% on three experimental models: egg yolk-induced oedema, cotton pellet-induced granuloma and formalin. In addition, the essential oil was tested for its in vitro antioxidant capacity using the 2,2-Diphényl-2-picryl-hydrazyle Free Radical Scavenging Test, acide 2,2'-azino-bis 3éthylbenz- thiazoline-6-sulfonique Radical Test and the Ferric reducing antioxidant power Test. The study was extended to the acute toxicity of the EO of the rhizomes of Z. officinale using the sequential method. Results: Qualitative phytochemical screening of the EO of Z. officinale rhizome revealed the presence of tannins, flavonoids, triterpenes, terpenoids and free quinones. In the egg yolk-induced edema model, the EO of Z .officinale rhizomes significantly inhibited (p < 0.01) oedema by 25.28%, 31.12% and 68.27% at the concentrations of 0.20%, 1% and 5%, respectively, when compared to controls. In the formalin-induced paw edema model, EO of Z. officinale rhizomes inhibited oedema by 24.27%, 30.14% and 43.14% at the concentrations of 0.20%, 1% and 5%, respectively, when compared to the controls. In the cotton pellet-induced granuloma model, EO of Z. officinale rhizomes induced an anti-granulomatous effect of 32.68%, 38.27% and 41.51% at the concentrations of 0.20%, 1% and 5%, respectively, as compared to controls. Additionally, the EO of the rhizomes of Z. officinale also induced in vitro antioxidant and free radical scavenging activity and iron reduction. Definitely, the LD50 of the EO of Z. officinale rhizomes was estimated as more than 2000 mg/kg b.w. Conclusion: The EO of Z. officinale rhizomes exhibited anti-inflammatory activity. This effect can be explained, at least partly to its chemical content and its antioxidant potential.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"9 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: Introduction: The complicated hydatid cyst of the lung is defined as any cyst ruptured in the bronchi tree or in the pleural cavity, infected, and rarely in the pericardial cavity. The aim of this study was to evaluate the problems of complicated pulmonary hydatid cyst, including presentation, diagnosis choice of surgical methods. and complication of delay in surgical treatment of pulmonary hydatid cysts. Methods: Between 2016 and 2021, 192 operations operated for pulmonary hydatid cysts, 42 of these patients were complicated hydatid cyst. Presentations were cough, chest pain and dyspnea.Diagnosis tools were CXR and CT-scan of chest. surgical approach was a posterolateral thoracotomy and anterolateral thoracotomyin all patients; a phrenotomy in eight patients and one-stage bilateral thoracotomy in six patients. Results: In 18 patients (67.5%), there were single hydatid cysts; whereas 4 patients (32.5%) had multiple cysts.12 patients had bilateral cyst and 8 had both lung and liver and others organs, 6 patients had preoperative hydatid cyst history. Iatrogenic rupture of an intact hydatid cyst occurred in 4 patients. Extrathoracic involvement was apparent in 6 patients (27%). Intrathoracic but extrapulmonary involvement was apparent in 4 patients (16%). Conclusion: Complicated hydatid cyst may present with different clinical and radiologically manifestations as a primary lung tumor , pleural effusion ,empyema hydropneumothorax. In patients with suspicious lung masses in endemic area or history of a hydatid cyst in patients a complicated pulmonary hydatid cyst may be in differential diagnosis.
{"title":"Presentation, diagnosis, management and outcome of complicated hydatid cyst of the lung","authors":"Manouchehr Aghajanzadeh, Ali Alavi Foumani, Azita Tangestaninejad, Seyed Aliaskhar Fakher Mosavi, Zahra Sadin, Omid Mosaffaee Rad, Ehsan Hajipour, Alireza Shirzadi, Mohaya Farzin","doi":"10.30574/gscarr.2024.18.2.0050","DOIUrl":"https://doi.org/10.30574/gscarr.2024.18.2.0050","url":null,"abstract":"Introduction: Introduction: The complicated hydatid cyst of the lung is defined as any cyst ruptured in the bronchi tree or in the pleural cavity, infected, and rarely in the pericardial cavity. The aim of this study was to evaluate the problems of complicated pulmonary hydatid cyst, including presentation, diagnosis choice of surgical methods. and complication of delay in surgical treatment of pulmonary hydatid cysts. Methods: Between 2016 and 2021, 192 operations operated for pulmonary hydatid cysts, 42 of these patients were complicated hydatid cyst. Presentations were cough, chest pain and dyspnea.Diagnosis tools were CXR and CT-scan of chest. surgical approach was a posterolateral thoracotomy and anterolateral thoracotomyin all patients; a phrenotomy in eight patients and one-stage bilateral thoracotomy in six patients. Results: In 18 patients (67.5%), there were single hydatid cysts; whereas 4 patients (32.5%) had multiple cysts.12 patients had bilateral cyst and 8 had both lung and liver and others organs, 6 patients had preoperative hydatid cyst history. Iatrogenic rupture of an intact hydatid cyst occurred in 4 patients. Extrathoracic involvement was apparent in 6 patients (27%). Intrathoracic but extrapulmonary involvement was apparent in 4 patients (16%). Conclusion: Complicated hydatid cyst may present with different clinical and radiologically manifestations as a primary lung tumor , pleural effusion ,empyema hydropneumothorax. In patients with suspicious lung masses in endemic area or history of a hydatid cyst in patients a complicated pulmonary hydatid cyst may be in differential diagnosis.","PeriodicalId":12791,"journal":{"name":"GSC Advanced Research and Reviews","volume":"82 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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